家电科技 ›› 2026, Vol. 0 ›› Issue (3): 94-101.doi: 10.19784/j.cnki.issn1672-0172.2026.03.014

• 论文 • 上一篇    下一篇

R454B管内摩擦阻力压降及相变传热预测关联式研究

杨阳1, 冀文涛1, 石亮2, 邵昱昌2, 付德钢2   

  1. 1.西安交通大学 陕西西安 710049;
    2.广东美的制冷设备有限公司 广东佛山 528300
  • 发布日期:2026-08-21
  • 作者简介:杨阳,学士学位。研究方向:制冷空调系统仿真与热设计。地址:广东省佛山市顺德区北滘镇林港路22号。E-mail:18578210828@163.com。

Research on pressure drop and two-phase heat transfer correlation formula in R454B internally pipe

Yang Yang1, Ji Wentao1, Shi Liang2, Shao Yuchang2, Fu Degang2   

  1. 1. Xi'an Jiaotong University Xi'an 710049;
    2. Guangdong Midea Air-Conditioning Equipment Co., Ltd. Foshan 528300
  • Published:2026-08-21

摘要: 当前的制冷系统仿真工具中,因缺少适用于R454B制冷混合工质的经验关联式,导致R454B空调系统模型的仿真预测误差较大。为解决该问题,采用科学严谨的方法,系统性地完成了关联式的建立、优化与验证,开发出适用于R454B制冷剂的内螺纹管管内压降及相变传热系数预测关联式。首先通过文献调研与自校验方法,筛选得到172组R454B单管实验数据与9个参考经验关联式;其次利用单管实验数据对参考关联式进行预测精度分析,其平均MAPE值30%;然后对参考关联式开展连续性与光滑性分析,最终形成了推荐关联式:R454B摩擦阻力压降预测关联式推荐Friedel L,冷凝传热系数预测关联式推荐Cavallini A,沸腾传热系数预测关联式推荐Gungor K.E.和Winterton R.H.S.;最后围绕关联式预测精度、连续性与光滑性分析中暴露的参考关联式的不足,采用SBG方法改进了Cavallini A关联式的预测精度,使平均MAPE值达到25%;采用Splice Function函数改进了Cavallini A关联式的光滑性,解决了Cavallini A关联式两相流流态之间转换、单相与两相之间转换的光滑性不足的问题。

关键词: 经验关联式, 沸腾传热, 冷凝传热, 摩擦阻力压降, R454B

Abstract: In current refrigeration system simulation tools, the lack of empirical correlations suitable for the R454B refrigerant mixture leads to significant simulation prediction in R454B air conditioning system models. To address the issue, a scientifically rigorous method was employed for the establishment, optimization, and validation of correlations, prediction correlations for internal thread tube pressure drop and phase-change heat transfer coefficient inside internally ribbed tubes applicable to the R454B refrigerant. Firstly, 172 groups of single-tube experimental data of R454B and 9 reference empirical correlations were screened through literature investigation and self-consistency verification. Secondly, the prediction performance of the reference correlations was validated against the experimental data, with an average mean absolute percentage error of 30%. Afterwards, continuity and smoothness analysis was performed on the reference correlations, ultimately forming the recommended correlations: the recommended correlation for R454B frictional pressure drop prediction is Friedel L, the recommended correlation for frictional pressure drop prediction, the Cavallini A, correlation for flow condensation heat transfer coefficient prediction, and the Gungor K.E. and Winterton R.H.S. correlation for flow boiling heat transfer coefficient prediction of R454B. Finally, addressing the deficiencies of reference correlations exposed in the analysis of correlation prediction accuracy, continuity, and smoothness of the correlation, targeting the improvement of prediction accuracy and smoothness, the Cavallini A. correlation was modified by the SBG method, achieving an average mean absolute percentage error value of 25%; the splice function was adopted to resolve the insufficient smoothness of the correlation in the transition between two-phase flow regimes and between single-phase and two-phase flow.

Key words: Empirical correlation, Boiling heat transfer, Condensation heat transfer, Frictional pressure drop, R454B

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